ICON

Bungane Mehlomakulu is an architectural and mechanical engineer whose career spans building systems, construction consulting and construction technology. As Senior Director of Building and Construction Science at ICON, he focuses on advancing robotic construction systems and helping translate innovation into practical industry adoption. His experience includes high-performance buildings, advanced building systems and emerging approaches to construction delivery.

Building Innovation around Industry Reality

My career began in architectural engineering, though I was trained in mechanical engineering. As a consultant, I worked on innovative projects involving advanced air conditioning, lighting, plumbing and mass timber construction. I was responsible for implementing on real projects and helping customers adopt them.

Those experiences revealed an important lesson. The challenge was rarely technology itself, but in convincing customers to adopt new technologies with confidence. Adoption was often slowed by implementation hurdles and uncertainty around changing established workflows, even when performance and cost benefits were clear.

That realization sparked my interest in construction technology. I became interested in what it takes to bring a new technology to market successfully. Joining ICON aligned with that perspective by combining innovation with the support needed to make disruptive technologies work in practice.

Driving Tech Adoption through Practical Value

Successful technology adoption starts with understanding where a solution fits best. Early success depends on applying it where its strengths are clear.

The same principle applies when developing new construction technologies. At ICON, we focus on walls and the robotic systems surrounding them. That approach targets an area of significant value while also providing the tools and guidance needed for design, code compliance and implementation.

Achieving broad adoption requires more than developing a strong technology. Success depends on understanding customers and helping them navigate change. Innovators may already see the value of robotic construction, software or AI, but customers often face different challenges.

Progress comes from understanding customer challenges and decision-making. Rather than expecting immediate acceptance, successful adoption depends on helping customers navigate the journey. Understanding their challenges, speaking their language and walking alongside them create a stronger path from innovation to implementation.

Improving Delivery through Integrated Construction Technology

Construction faces labor and cost challenges across projects and markets. The greatest hardware opportunity lies in delivering equal or better outcomes with fewer workers, simplified training and localized materials. Improving speed and quality while reducing labor demands can create meaningful value across the industry.

That value depends on more than robotics alone. Titan, ICON’s advanced 3D construction robotics system, requires support across architecture, structural design, logistics, supply chains, permitting and building enclosure systems. Technology scales most effectively when the implementation ecosystem moves projects from design through construction.

While robotics can improve field operations, AI has the potential to strengthen many activities surrounding it. Design, permitting, planning and cost estimating often involve large amounts of information moving between stakeholders. Delays stem from fragmented communication and slow feedback loops.

Buildings require input from many disciplines, creating significant information-sharing challenges. AI can improve information flow, strengthen feedback loops, close information gaps and accelerate decision-making. Combined with advances in robotics and hardware, these capabilities can improve project quality and delivery speed across the construction lifecycle.

“Practitioners with wide industry experience bring valuable knowledge from working on real buildings. They can help guide the adoption of technologies suited to the realities of construction.”

Turning Industry Insight into Meaningful Innovation

Successful innovation begins with understanding the industry’s core challenges. Whether someone comes from within or outside the industry, understanding their root causes is essential.

Equally important is the ability to speak the language of customers and practitioners. That understanding comes from recognizing the industry’s learning cycle. Construction projects often span 18 months to a decade, and some lessons do not emerge until the very end. For those entering from outside the industry, spending time with experienced practitioners is essential.

Innovation requires balancing ambition with practicality. New ideas often encounter resistance from professionals who have spent decades refining established processes. Understanding those concerns while staying committed to the core vision creates a stronger path to adoption.

That balance requires tenacity in an industry that is often skeptical of change. Progress comes from understanding industry realities, speaking the language of practitioners and demonstrating value through real-world results.

AI is creating new opportunities. Practitioners, particularly on the software side, can explore, test and refine ideas without immediately needing specialized development teams. The same opportunity extends to firms seeking solutions tailored to their specific needs.

Expanding What Construction Can Achieve

The most exciting aspect of construction technology is how early we still are in the innovation journey. After nearly 20 years in the architecture, engineering and construction industry, I came to appreciate how rarely new methods of construction emerge. When they do, there is often an expectation that they should already be proven and ready for widespread adoption.

Working in robotic construction has shifted my perspective. I often compare the industry to the early days of aviation, when we had just learned how to design the plane. There is growing confidence in what these technologies, still early in their development, can achieve in the near future. The greatest source of optimism comes from how much remains to be discovered.

The next step is scaling those capabilities for broader adoption, as advances in material science, AI, ML, robotics and autonomous construction systems create new possibilities across the building lifecycle.

Bringing Industry Experience into Construction Technology

Real progress in construction technology will depend on the people shaping that future. Seasoned practitioners with wide industry experience bring valuable knowledge from working on real buildings. They can help guide the adoption of technologies suited to the realities of construction.

The same applies to AI and software. Effective AI-driven platforms and ML solutions depend on practitioners who understand industry challenges and workflows.

I also encourage people early in their careers, including those straight out of school, to explore construction technology. New ideas and different perspectives will be shaping the next generation of solutions.